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Basic Information

VectorVein is a no-code AI workflow application for building intelligent automation that combines large language models and a personal knowledge base. It is inspired by LangChain and langflow and provides a drag-and-drop workflow editor and a separate user-facing interface so non-programmers can design, run and reuse workflows for tasks like translation, summarization, classification and mind map generation. The project can be run locally as a desktop app using pywebview or experienced online, and includes a backend in Python and a frontend in Vue3. It supports configuring multiple LLM API endpoints, custom and remote model settings, embeddings, speech recognition, and local model runtimes. The repository contains development and packaging instructions, database migration guidance, and templates and tutorials to help users create and operate automated AI workflows.

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App Details

Features
No-code visual workflow editor with a node palette and canvas for drag-and-drop composition. Distinct user interface for daily operation and an editor interface for building and editing workflows. Local FastAPI-based API server that starts with the app and exposes RESTful endpoints for listing workflows, getting workflow details, running workflows, checking status and OpenAPI documentation. Support for multiple API endpoints and custom LLM configurations, including OpenAI-compatible local services such as LM-Studio, Ollama and vLLM. Embedding configuration options and support for local embedding services. Speech recognition configuration for OpenAI/Deepgram-compatible services and shortcut-driven voice conversations. Packaging via pyinstaller and instructions for database migrations and frontend build integration.
Use Cases
VectorVein lowers the barrier to create AI-driven automations by letting users assemble complex processes without programming. It is useful for typical tasks described in the README such as translating documents, summarizing web articles into mind maps, building crawler-plus-AI summary workflows, and automatically classifying customer complaint tables into spreadsheets. The built-in API enables programmatic invocation of workflows and integration with other applications or automation tools. Local model and embedding support can help with privacy and offline usage. Shortcuts and speech recognition enable quick voice interactions. Developers benefit from development scripts, packaging guidance and database migration tools to extend, deploy and maintain the system.

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